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Re-introducing 8090... Two ways to work with us: → [BUILD] Software Factory: the platform for consulting and technology businesses building software with AI agents. The documentation stays alive because the system keeps it alive (no one ever updates the PRD on their own). → [BUY] 8090 Enterprise: AI-native custom...

308,441 Aufrufe • vor 5 Monaten •via X (Twitter)

17 Kommentare

Profilbild von Sai
Saivor 5 Monaten

Ran the site through Overall, it seems great and better than most this early tbh - 8090 can still beat out industry giants in this space on AI search with some engineering tweaks

Profilbild von Groxen
Groxenvor 5 Monaten

Would this be accurate take on 8090?

Profilbild von The Magnificent Ferengi
The Magnificent Ferengivor 4 Monaten

Pretty cool but I feel like you’re lacked the larger vision for what this could become Building something similar internally for our team

Profilbild von @KlauserIT
@KlauserITvor 5 Monaten

nice to have a website with some content! good work, well done, let's go!

Profilbild von Jag
Jagvor 2 Monaten

How is different to using notion, cursor, github and linear as the software factory.

Profilbild von robpoz
robpozvor 5 Monaten

real test for 8090: can EY use Software Factory to build EY's internal Software Factory? if yes, they cancel the contract Monday. if no, what are they paying for?

Profilbild von Rahul Reddy
Rahul Reddyvor 2 Monaten

docs staying alive is key

Profilbild von foundrceo
foundrceovor 5 Monaten

do u guys have an AI for updating my grocery list? asking for a friend.

Profilbild von Jeremiah Krakowski
Jeremiah Krakowskivor 2 Monaten

Chamath raised $135M for a project that makes itself obsolete tomorrow

Profilbild von ActMyAgent
ActMyAgentvor 5 Monaten

We do the same but at 1/10th of their price. Check us out here

Profilbild von Rayan | Launch Videos
Rayan | Launch Videosvor 2 Monaten

Every relaunch deserves visuals that match the vision. 👏

Profilbild von Cyrus
Cyrusvor 5 Monaten

this isn’t his post but i have seen too much of chamath today no hate just too much

Profilbild von BTCaveman.
BTCaveman.vor 2 Monaten

Pay attention @chamath

Profilbild von Brickagent
Brickagentvor 2 Monaten

Amazing effort. I’m all in with you. Inspirational stuff you’re doing!

Profilbild von 𝕥𝕒𝕜𝕚𝕔𝕖𝕤𝕔
𝕥𝕒𝕜𝕚𝕔𝕖𝕤𝕔vor 5 Monaten

@grok 介绍一下这个公司及其创始人

Profilbild von Vishal Rajpal
Vishal Rajpalvor 5 Monaten

The upstream context capture (living PRDs, architecture decisions) is a decent moat compared to clean tickets assumed by Factory. on other side, $1M/yr starting point for enterprises, how is the pitch landing? Fortune 500s with multi-year contracts or even or CC powered DNB/SMB

Profilbild von Ronald P. Karlsberg MD FACP FAHA FACC MSCCT |
Ronald P. Karlsberg MD FACP FAHA FACC MSCCT |vor 2 Monaten

Congratulations we are all in!!!

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🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

MIKE

39,041 Aufrufe • vor 2 Monaten

We raised a $135M Series A! 8090’s Series A was led by Salesforce Ventures and joined by WNDR, Craft Ventures, The Production Board, and LAUNCH. We also had the support of a group of esteemed angels including Nikesh Arora, Cliff Robbins, Adam D’Angelo, Shyam Ravindran, Abhi Arun, and Thomas Laffont. We’re grateful for their support. It validates 8090’s mission and traction so far, but mostly it accelerates the work ahead. The capital will go to two places. The first is hiring more people, because the demand we have is accelerating rapidly. The second is investing in the compute and infrastructure needed to keep delivering our solutions at high quality and reliability. 8090 works with the biggest, hardest, most demanding customers in the most regulated industries: healthcare, insurance, life sciences, aerospace, energy, manufacturing, financial services, and the United States government. We help them win by using our AI-enabled Software Factory to design and build entire new systems, refactor old ones, and find and accelerate their edge. Our view is that as Software Factory is used more and more to do mission-critical work inside industries with the least tolerance for error and the most oversight, it will be used to bring transparency, consistency and control to work everywhere. And as we expand the potential of the biggest organizations, we are also building a playbook and a series of network effects into Software Factory that will be valuable to everyone, from SMBs to solo founders. With much gratitude, back to work… PS - A note on why I am doing this as CEO, rather than from the board. This is one of those rare moments when the technological ground is moving so ferociously underneath all of us that the decisions made in the next few years will set the stage for the next twenty. AI can be the grand equalizer. It is the thing that can give everybody a shot, and I would like to help it achieve that potential. Since I left Facebook, I was waiting for a moment like this to return to a full-time operating role. I was a demanding manager back then, but I felt I had no choice given how powerful and undeniable what we were building was. I am convinced that what we are building now is even more important, so there was no decision to make except to be all in.

Chamath Palihapitiya

1,118,985 Aufrufe • vor 3 Monaten

WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN) I think it's a silly name for a genuinely USEFUL idea! A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. It's going viral because AI coding has a trust problem. The model can build the feature, but with no structure around it you end up babysitting the agent, wondering what changed and hoping it didn't break something important. So you build with agents the same way a factory builds physical products! 1. Each feature gets its own station, which in software means its own branch, so multiple agents can work at the same time without stepping on each other. 2. The build station gives the agent rules for how to write the code, because "it works" is very different from "a developer could open this repo next month and understand what happened." 3. The proof station makes the agent show evidence. Screenshots, videos, speed numbers, before-and-after states. It has to prove the thing works instead of saying it works. 4. The review station runs the work through a code review agent, and if it doesn't clear the bar, it goes back through the line. 5. Then you show up at the end to merge. For a 100+ years people have run production this way, and it worked because the structure is good. The full episode on what’s a software factory is NOW live on The Startup Ideas Podcast (SIP) 🧃 with the wonderful Micky Watch: So is it hype?!? I don't think it is, because of what it does to your output! WITHOUT a factory, you build ONE feature at a time and you're the bottleneck at every step, prompting, checking the diff, testing it yourself, hoping nothing else broke (spoiler alert it often does). WITH a factory, EACH feature runs in its own isolated copy of the app, so you can have 10+ of them going at once, and each agent has to prove its own work and pass a code review before it ever reaches you. Instead of supervising the work, you're APPROVING finished work that already has evidence attached. REALLY interesting to see how work with agents is evolving to be….well, similar to working with people!

GREG ISENBERG

30,787 Aufrufe • vor 12 Tagen